Prediction of the Hemp Yield Using Artificial Intelligence Methods
The aim of this study was to determine the usefulness of artificial neural networks (ANN) in the process of forecasting the yield of hemp seeds (Cannabis sativa L.) of the Henola variety. The field experiments (various doses of mineral fertilization, sowing date, row spacing) results were also used...
Сохранить в:
| Главные авторы: | , , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Taylor & Francis Group
2022-11-01
|
| Серии: | Journal of Natural Fibers |
| Предметы: | |
| Online-ссылка: | http://dx.doi.org/10.1080/15440478.2022.2105468 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|
